Issue 12, 2023

Peptomer substrates for quantitative pattern-recognition sensing of proteases

Abstract

The utility of active proteases as biomarkers is often limited by overlapping substrate specificity. Here, this feature is leveraged to develop a quantitative pattern-recognition sensing system driven by the degradation patterns of peptide–peptoid hybrid substrates to classify proteases and estimate their concentration by multivariate data analysis.

Graphical abstract: Peptomer substrates for quantitative pattern-recognition sensing of proteases

Supplementary files

Article information

Article type
Communication
Submitted
02 Dec 2022
Accepted
14 Jan 2023
First published
17 Jan 2023
This article is Open Access
Creative Commons BY-NC license

Chem. Commun., 2023,59, 1685-1688

Peptomer substrates for quantitative pattern-recognition sensing of proteases

M. J. Austin, H. C. Schunk, N. Ling and A. M. Rosales, Chem. Commun., 2023, 59, 1685 DOI: 10.1039/D2CC06587H

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements